IDENTIFYING INFORMATION

Redeker, Nils (2020): "Replication Data for: The Politics of Stashing Wealth: The decline of labor power and the global rise in corporate saving“

DATA FILES IN THE REPLICATION

- "Cross_nationa_data.csv"
- "DE_firms_data_COMPUSTAT.csv" 
- "DE_household_data_SOEP.csv“
- "DE_household_weights_SOEP.csv“


DATA FILES DESCRIPTION

The data file "Cross_nationa_data.csv" includes all variables used in the cross national analyses of the paper. For details of variables and data sources see Section 4.2 of the paper.
The firm-level and household-level data used in this study are proprietary, and I am prohibited from sharing them publicly.The data were collected from the Wharton Research Data Services (WRDS) and from the Research Data Center of the SOEP. To facilitate replication, I describe the data collection briefly below. The do-files included here draw on the following data files, which I do not have the rights to share:

The "DE_firms_data_COMPUSTAT.csv" file includes annual balance-sheet information on German companies - from Compustat, available through WRDS.

The "DE_household_data_SOEP.csv“ file includes survey waves from German households - from SOEP availabe throguh Research Data Center of the SOEP.

The "DE_household_weights_SOEP.csv“ file includes the respective micro-level survey weights from German house holds - from SOEP availabe throguh Research Data Center of the SOEP.

WRDS is a data management system that enables faculty and students to access various research datasets through a web interface available at https://wrds- web.wharton.upenn.edu/wrds/. Each dataset has a separate subscription agreement. To download Compustat data, the user must select Compustat from the main page (step 1), then the user must select the date range and frequency of data (monthly, annual), step 2. In step 3, the user must select to download information for all the securities available, "Entire Database" (the datasets allow the user to narrow the search for specific securities, we I downloaded all available securities). In Step 4, the user must select the relevant variables and finally, in step 5, the type of output file (csv, txt, etc.). My data include annual observations for all publicly traded German companies between 1991 and 2017. Detailed variable descriptions are available at: https://wrds- web.wharton.upenn.edu/wrds/demo/demoform_compustat.cfm

The German Socio-Economic Panel (SOEP) study is an annual representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. The data provide information on all household members, consisting of Germans living in the Eastern and Western German States, foreigners, and immigrants to Germany. To access SOEP data, the user must sign a contract on data distribution with the DIW Berlin. In particular, the data used in the study builds on individual-level survey files from the soep-core v35 file. Detailed variable descriptions are available at https://paneldata.org.

DIRECTORY FOR REPLICATION FILES

JOP_replication_cross_national.R
- R codefile that details the commands used in the cross-national analysis in the paper and appendix.

JOP_replication_firm_level.R
- R codefile that details the commands used in the firm-level analysis in the paper and appendix.

JOP_replication_firm_sector_level.R
- R codefile that details the commands used in the firm-sector-level analysis in section C of the appendix.

REQUIRED SOFTWARE, VERSIONS, AND PACKAGES 

The analysis was performed in R version 3.6.2 (2019-12-12).
